Triple

T34543117
Position Surface form Disambiguated ID Type / Status
Subject JSTOR E886854 entity
Predicate hasOpenAccessContent P31861 FINISHED
Object yes LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: yes | Statement: [JSTOR, hasOpenAccessContent, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOpenAccessContent
Context triple: [JSTOR, hasOpenAccessContent, yes]
  • A. hasPartOpenToPublic
    Indicates that some portion or component of an entity is accessible for use or visitation by the general public.
  • B. contentAccess
    Indicates that one entity is permitted to retrieve, view, or otherwise use the content provided or controlled by another entity.
  • C. isFreeToRead chosen
    Indicates that access to the referenced content or resource does not require payment and can be read without cost.
  • D. hasEditorialContent
    Indicates that an entity includes or is associated with editorially created or curated content, such as articles, commentary, or opinion pieces.
  • E. hasDigitalAccess
    Indicates that an entity has the ability or permission to use or access digital resources, services, or information.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f349ce5eb881909e431c670944aa68 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69fbc9d1dba881908c399b8e1dc13ce2 completed May 6, 2026, 11:08 p.m.
PD Predicate disambiguation batch_69fbc8ec03ac8190a757563f96fab283 completed May 6, 2026, 11:04 p.m.
Created at: May 1, 2026, 2:02 a.m.